Template
Provides a production-ready Python template for building Model Context Protocol (MCP) servers to integrate REST APIs with Claude and other MCP-compatible tools.
About
This repository offers a production-ready template for developing Model Context Protocol (MCP) servers using Python, specifically designed for seamless integration with Claude Desktop and other MCP-compatible applications. It provides robust patterns for async HTTP clients, comprehensive error handling, efficient connection pooling, and a clear separation of concerns, serving as an ideal foundation for connecting external REST APIs to large language models. The template includes essential async tools, API client examples, configuration guidance, and end-to-end examples for rapid API integration.
Key Features
- Async-first Python template with asyncio and httpx for high performance.
- Connection pooling optimized for long-lived AI sessions and reduced latency.
- 0 GitHub stars
- Includes Dockerfile and Kubernetes manifest examples for production deployment.
- Standardized error types and mapping to HTTP and MCP error payloads.
- Clean MCP handler scaffolding for streamlined request/response flows.
Use Cases
- Establishing a consistent HTTP client layer for AI model interactions.
- Building Model Context Protocol (MCP) adapters for Claude or other model hosts.
- Developing async, testable server templates for integrating REST APIs with MCP.
